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A leading manufacturer of construction and mining equipment, located in Peterborough, seeks a Data Scientist to support electrification initiatives. This role involves analysing complex datasets related to vehicle performance, where you will work closely with cross-functional teams to deliver innovative solutions. Required qualifications include a degree in a relevant field and proficiency in data analysis tools like Python and SQL. This position offers a competitive salary and various benefits, contributing to a sustainable future.
Technology, Digital and Data
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Title: Data Scientist
Salary/Grade: £49,519 - £61,000 per annum (depending on experience)
Location: Peterborough
This role requires 5 days a week in the office.
Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 95-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe.
Caterpillar’s Electrification & Energy Solutions (E+ES) division focuses on delivering advanced electrified power train, zero-emissions products/technologies, and the solutions and services associated with these technologies. Focus areas include batteries, fuel cells, motors, inverters, micro grid controllers, charging, energy storage systems, lifecycle solutions/services and integration of components for ePowertrain solutions across industries.
We are looking for top talent to build and scale the next generation of technologies, products and services to help our customers build a better—more sustainable—world. We need self‑motivated, intelligent and team‑oriented individuals to make our plans a reality. Individuals with high emotional intelligence, humility and openness to discovery will thrive in the teams we are building.
As a Data Scientist, you will be an integral part of our dedicated analytics team, contributing to the development and deployment of innovative business solutions. You will support electrification and enhance understanding of machine and battery performance with respect to customer requirements. This will involve developing mathematical algorithms, coding solutions and analysing results to provide insight to the wider business.
Our mission is to support our customers in the energy transition by delivering high‑performance and technologically advanced electric vehicles and solutions. Extracting insights from complex datasets, you will influence high level decisions and be part of a team to drive the future of machine power solutions through innovative data analysis. This is a collaborative role, working closely with multiple cross‑functional teams across Caterpillar.
Analytical thinking:
Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off‑highway diesel and natural gas engines, industrial gas turbines and diesel‑electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced‑carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
NB. The panel cannot make assumptions when shortlisting therefore please demonstrate your qualifications and experience on your CV relevant to the criteria outlined. Pending the number of applications, the criteria for the position may be enhanced to facilitate shortlisting.
February 6, 2026 - February 13, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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